Search Results - "Yu, Rongshan"

Inconsistent prediction capability of ImmuneCells.Sig across different RNA-seq datasets by Xiao, Xu, Xu, Canqiang, Yang, Wenxian, Yu, Rongshan

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A Statistical Demand-Price Model With Its Application in Optimal Real-Time Price by Rongshan Yu, Wenxian Yang, Rahardja, S.

“…In this paper, the price elasticity of electrical demand is studied in a smart grid framework where electricity loads are scheduled by distributed Energy…”
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cgMSI: pathogen detection within species from nanopore metagenomic sequencing data by Zhu, Xu, Zhao, Lili, Huang, Lihong, Yang, Wenxian, Wang, Liansheng, Yu, Rongshan

“…Abstract Background Metagenomic sequencing is an unbiased approach that can potentially detect all the known and unidentified strains in pathogen detection…”
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Performance evaluation of lossy quality compression algorithms for RNA-seq data by Yu, Rongshan, Yang, Wenxian, Wang, Shun

“…Abstract Background Recent advancements in high-throughput sequencing technologies have generated an unprecedented amount of genomic data that must be stored,…”
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Editorial: Integrative analysis of single-cell and/or bulk multi-omics sequencing data by Chen, Geng, Yu, Rongshan, Chen, Xingdong

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Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images by Hu, Jing, Cui, Chuanliang, Yang, Wenxian, Huang, Lihong, Yu, Rongshan, Liu, Siyang, Kong, Yan

“…•Our deep neural network based model represents the first finding of making use of H&E images to predict immunotherapy response.•Area under the curve (AUC) of…”
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Ratio of the interferon-γ signature to the immunosuppression signature predicts anti-PD-1 therapy response in melanoma by Cui, Chuanliang, Xu, Canqiang, Yang, Wenxian, Chi, Zhihong, Sheng, Xinan, Si, Lu, Xie, Yihong, Yu, Jinyu, Wang, Shun, Yu, Rongshan, Guo, Jun, Kong, Yan

“…Immune checkpoint inhibitor (ICI) treatments produce clinical benefit in many patients. However, better pretreatment predictive biomarkers for ICI are still…”
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Deepfakes: A new threat to image fabrication in scientific publications? by Wang, Liansheng, Zhou, Lianyu, Yang, Wenxian, Yu, Rongshan

“…There is an increasing risk of people using advanced artificial intelligence, particularly the generative adversarial network (GAN), for scientific image…”
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Preventing Distribution Grid Congestion by Integrating Indirect Control in a Hierarchical Electric Vehicles' Management System by Junjie Hu, Chengyong Si, Lind, Morten, Rongshan Yu

“…In this paper, a hierarchical management system is proposed to integrate electric vehicles (EVs) into a distribution grid. Three types of actors are included…”
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Dice-XMBD: Deep Learning-Based Cell Segmentation for Imaging Mass Cytometry by Xiao, Xu, Qiao, Ying, Jiao, Yudi, Fu, Na, Yang, Wenxian, Wang, Liansheng, Yu, Rongshan, Han, Jiahuai

“…Highly multiplexed imaging technology is a powerful tool to facilitate understanding the composition and interactions of cells in tumor microenvironments at…”
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Deep representation features from DreamDIAXMBD improve the analysis of data-independent acquisition proteomics by Gao, Mingxuan, Yang, Wenxian, Li, Chenxin, Chang, Yuqing, Liu, Yachen, He, Qingzu, Zhong, Chuan-Qi, Shuai, Jianwei, Yu, Rongshan, Han, Jiahuai

“…We developed DreamDIA XMBD (denoted as DreamDIA), a software suite based on a deep representation model for data-independent acquisition (DIA) data analysis…”
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UltraStrain: An NGS-Based Ultra Sensitive Strain Typing Method for Salmonella enterica by Yang, Wenxian, Huang, Lihong, Shi, Chong, Wang, Liansheng, Yu, Rongshan

“…In the last few years, advances in next-generation sequencing (NGS) technology for whole genome sequencing (WGS) of foodborne pathogens have provided drastic…”
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Efficient Implementation of k-Nearest Neighbor Classifier Using Vote Count Circuit by Shu, Haiyan, Yu, Rongshan, Jiang, Wenyu, Yang, Wenxian

“…The k-nearest neighbor (k-NN) classification is a nonparametric method to classify objects based on the training set. It is an instance-based classifier…”
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A low-complexity noise estimation algorithm based on smoothing of noise power estimation and estimation bias correction by Rongshan Yu

“…This paper presents a low-complexity algorithm for tracking the noise spectral variance of speech contaminated by non-stationary noise sources. The proposed…”
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Dear-DIAXMBD: Deep Autoencoder Enables Deconvolution of Data-Independent Acquisition Proteomics by He, Qingzu, Zhong, Chuan-Qi, Li, Xiang, Guo, Huan, Li, Yiming, Gao, Mingxuan, Yu, Rongshan, Liu, Xianming, Zhang, Fangfei, Guo, Donghui, Ye, Fangfu, Guo, Tiannan, Shuai, Jianwei, Han, Jiahuai

“…Data-independent acquisition (DIA) technology for protein identification from mass spectrometry and related algorithms is developing rapidly. The…”
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Low-Complexity Packet Scheduling Algorithms for Streaming Scalable Media Based on Time Utility Function by Yu, Rongshan, Shu, Haiyan, Jiang, Wenyu

“…We propose a time-utility function (TUF)-based packet scheduling algorithm for streaming scalable media. In the proposed system, the scalable media is…”
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Multiplexed imaging mass cytometry reveals distinct tumor-immune microenvironments linked to immunotherapy responses in melanoma by Xiao, Xu, Guo, Qian, Cui, Chuanliang, Lin, Yating, Zhang, Lei, Ding, Xin, Li, Qiyuan, Wang, Minshu, Yang, Wenxian, Kong, Yan, Yu, Rongshan

“…Background Single-cell technologies have enabled extensive analysis of complex immune composition, phenotype and interactions within tumor, which is crucial in…”
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Open Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop by Alexander, Roger P, Kitchen, Robert R, Tosar, Juan Pablo, Roth, Matthew, Mestdagh, Pieter, Max, Klaas E A, Rozowsky, Joel, Kaczor-Urbanowicz, Karolina Elżbieta, Chang, Justin, Balaj, Leonora, Losic, Bojan, Van Nostrand, Eric L, LaPlante, Emily, Mateescu, Bogdan, White, Brian S, Yu, Rongshan, Milosavljevic, Aleksander, Stolovitzky, Gustavo, Spengler, Ryan M

“…We now know RNA can survive the harsh environment of biofluids when encapsulated in vesicles or by associating with lipoproteins or RNA binding proteins. These…”
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Protocol to estimate cell type proportions from bulk RNA-seq using DAISM-DNNXMBD by Lin, Yating, Wu, Shangze, Xiao, Xu, Zhao, Jingbo, Wang, Minshu, Li, Haojun, Wang, Kejia, Zhang, Minwei, Zheng, Frank, Yang, Wenxian, Zhang, Lei, Han, Jiahuai, Yu, Rongshan

“…Computational protocols for cell type deconvolution from bulk RNA-seq data have been used to understand cellular heterogeneity in disease-related samples, but…”
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A new noise annoyance measurement metric for urban noise sensing and evaluation by Huan Zhou, Rongshan Yu, Ying Song, Haiyan Shu

“…This paper investigates the problem of noise-induced annoyance level evaluation, and proposes a novel annoyance measurement metric for more efficient and…”
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